README.md

metadata

license: mit
language:
  - uz
tags:
  - audio
  - speech
task_categories:
  - automatic-speech-recognition

Uzbek Speech Corpus (USC)

Paper: USC: An Open-Source Uzbek Speech Corpus and Initial Speech Recognition Experiments

Summary: This repository contains dataset for reproducing the results presented in the paper "USC: An Open-Source Uzbek Speech Corpus". USC is a freely available, manually checked speech corpus comprising 958 speakers and 105 hours of transcribed audio recordings.

Dataset Summary:

Feature	Description
Language	Uzbek
Size	105 hours of audio
Number of Speakers	958
Transcription	Manual, checked by native speakers
ASR Architectures	DNN-HMM and End-to-End (E2E)
WER (Validation)	18.1%
WER (Test)	17.4%

Github Repository: https://github.com/IS2AI/Uzbek_ASR

Citation:

@inproceedings{musaev2021usc,
  title={USC: An open-source Uzbek speech corpus and initial speech recognition experiments},
  author={Musaev, Muhammadjon and Mussakhojayeva, Saida and Khujayorov, Ilyos and Khassanov, Yerbolat and Ochilov, Mannon and Atakan Varol, Huseyin},
  booktitle={Speech and Computer: 23rd International Conference, SPECOM 2021, St. Petersburg, Russia, September 27--30, 2021, Proceedings 23},
  pages={437--447},
  year={2021},
  organization={Springer}
}